Translator Disclaimer
Paper
24 November 2008 Abstracting of suspected illegal land use in urban areas using case-based classification of remote sensing images
Author Affiliations +
Proceedings Volume 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China; 71230R (2008) https://doi.org/10.1117/12.816188
Event: Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 2007, Beijing, China
Abstract
This paper proposed a method that uses a case-based classification of remote sensing images and applied this method to abstract the information of suspected illegal land use in urban areas. Because of the discrete cases for imagery classification, the proposed method dealt with the oscillation of spectrum or backscatter within the same land use category, and it not only overcame the deficiency of maximum likelihood classification (the prior probability of land use could not be obtained) but also inherited the advantages of the knowledge-based classification system, such as artificial intelligence and automatic characteristics. Consequently, the proposed method could do the classifying better. Then the researchers used the object-oriented technique for shadow removal in highly dense city zones. With multi-temporal SPOT 5 images whose resolution was 2.5×2.5 meters, the researchers found that the method can abstract suspected illegal land use information in urban areas using post-classification comparison technique.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fulong Chen, Chao Wang, Chengyun Yang, Hong Zhang, Fan Wu, Wenjuan Lin, and Bo Zhang "Abstracting of suspected illegal land use in urban areas using case-based classification of remote sensing images", Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 71230R (24 November 2008); https://doi.org/10.1117/12.816188
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top